Dr. Leonid Chindelevitch

Biography

Leonid Chindelevitch’s research program focuses on mathematical computational modeling of antimicrobial resistance and infectious disease. He employs computational systems biology at the molecular level and epidemiology population genetics at the population level, aiming to improve patient outcomes, particularly in low-income and low-resource settings. His methodological research interests include computational biology, algorithm development, discrete optimization, and machine learning. Chindelevitch holds a PhD in Applied Mathematics from MIT, supervised by Bonnie Berger, and a BSc in Mathematics and Computer Science from McGill University. His doctoral work focused on metabolic models of tuberculosis (TB). He completed a postdoctoral fellowship with Ted Cohen's group from 2012 to 2015 and served as a faculty member in the School of Computing Science at Simon Fraser University from 2015 to 2020, where he received the Alfred P. Sloan Research Fellowship in Computational Evolutionary Molecular Biology. Since 2020, he has been a faculty member in the Department of Infectious Disease Epidemiology and the MRC Centre for Global Infectious Disease Analysis at Imperial College London. His experience also includes working in industry and non-profit organizations, including computational biology roles at Pfizer.

Research Interests